Impact of Risk-Adapted Therapy for Pediatric Hodgkin Lymphoma on Risk of Long-Term Morbidity: A Report From the Childhood Cancer Survivor Study
Bibliographic record
Abstract
PURPOSE To determine the incidence of serious chronic health conditions among survivors of pediatric Hodgkin lymphoma (HL), compare by era of therapy and by selected cancer therapies, and provide estimates of risks associated with contemporary therapy. METHODS Assessing 2,996 5-year HL survivors in the Childhood Cancer Survivor Study diagnosed from 1970 to 1999, we examined the cumulative incidence of severe to fatal chronic conditions (grades 3-5) using self-report conditions, medically confirmed subsequent malignant neoplasms, and cause of death based on the National Death Index. We used multivariable regression models to estimate hazard ratios (HRs) per decade and by key treatment exposures. RESULTS HL survivors were of a mean age of 35.6 years (range, 12-58 years). The cumulative incidence of any grade 3-5 condition by 35 years of age was 31.4% (95% CI, 29.2 to 33.5). Females were twice as likely (HR, 2.1; 95% CI, 1.8 to 2.4) to have a grade 3-5 condition compared with males. From the 1970s to the 1990s, there was a 20% reduction (HR, 0.8; 95% CI, 0.7 to 0.9) in decade-specific risk of a grade 3-5 condition ( P trend = .002). In survivors who had a recurrence and/or hematopoietic cell transplant, the risk of a grade 3-5 condition was substantially elevated, similar to that of survivors treated with high-dose, extended-field radiotherapy (HR, 1.2; 95% CI, 0.9 to 1.5). Compared with survivors treated with chest radiotherapy ≥ 35 Gy in combination with an anthracycline or alkylator, a contemporary regimen for low-intermediate risk HL was estimated to lead to a 40% reduction in risk of a grade 3-5 condition (HR, 0.6; 95% CI, 0.4 to 0.8). CONCLUSION This study demonstrates that risk-adapted therapy for pediatric HL has resulted in a significant reduction in serious long-term outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".